{"id":19052833,"url":"https://github.com/dummumounika/ecommerce-sales-categorization","last_synced_at":"2026-04-13T14:33:10.155Z","repository":{"id":238801505,"uuid":"797576393","full_name":"DummuMounika/Ecommerce-Sales-Categorization","owner":"DummuMounika","description":"This repository contains Python code for text classification and analysis of e-commerce sales data. The script processes textual descriptions of products and categorizes them into predefined categories using a Naive Bayes classifier. It also includes various analysis and visualization methods to explore the dataset.","archived":false,"fork":false,"pushed_at":"2024-05-08T23:47:06.000Z","size":21918,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-22T00:44:08.638Z","etag":null,"topics":["machine-learning","matplotlib-pyplot","ntlk","numpy","pandas","python","scikit-learn"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DummuMounika.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-05-08T05:38:52.000Z","updated_at":"2024-05-08T23:47:09.000Z","dependencies_parsed_at":null,"dependency_job_id":"6f4eebf6-1cfe-4be2-b12f-e67338d03e73","html_url":"https://github.com/DummuMounika/Ecommerce-Sales-Categorization","commit_stats":null,"previous_names":["dummumounika/ecommerce-sales-categorization"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DummuMounika/Ecommerce-Sales-Categorization","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DummuMounika%2FEcommerce-Sales-Categorization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DummuMounika%2FEcommerce-Sales-Categorization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DummuMounika%2FEcommerce-Sales-Categorization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DummuMounika%2FEcommerce-Sales-Categorization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DummuMounika","download_url":"https://codeload.github.com/DummuMounika/Ecommerce-Sales-Categorization/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DummuMounika%2FEcommerce-Sales-Categorization/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31757477,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T13:27:56.013Z","status":"ssl_error","status_checked_at":"2026-04-13T13:21:23.512Z","response_time":93,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["machine-learning","matplotlib-pyplot","ntlk","numpy","pandas","python","scikit-learn"],"created_at":"2024-11-08T23:28:10.985Z","updated_at":"2026-04-13T14:33:10.135Z","avatar_url":"https://github.com/DummuMounika.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Ecommerce-Sales-Categorization\n\nPython script for text classification and analysis of e-commerce sales data.\n\n# Overview\n\nThis repository contains a Python script that processes textual descriptions of products from an e-commerce dataset and categorizes them into predefined categories using a Naive Bayes classifier. Additionally, the script provides various analysis and visualization methods to explore the dataset, including plotting category distribution, analyzing top customers, and visualizing sales by country and month.\n\n# Features\n\n**Text Classification:** Utilizes a Naive Bayes classifier to categorize product descriptions.\u003cbr\u003e\n**Natural Language Processing (NLP):** Preprocesses text data using tokenization and lemmatization and filtering out invalid words.\u003cbr\u003e\n**Analysis and Visualization:** Provides insights into the dataset through various analysis and visualization methods. \u003cbr\u003e\n**Error Handling:** Handles file loading errors and unexpected errors during execution.\u003cbr\u003e\n\n# Usage\n\n1. Ensure Python and required libraries are installed.\n2. Clone this repository to your local machine.\n3. Prepare the training dataset in CSV format with 'Description' and 'Category' columns.\n4. Run the script(text_classifier.py), provide the necessary file paths as arguments to input files.\n5. Explore the output results such as predicted_categories.json and predicted_categories.csv files.\n6. Analyze the results and visualizations generated by the script.\n\n# Acknowledgements\n1. scikit-learn: Library for machine learning in Python.\n2. NLTK: Toolkit for natural language processing.\n3. Matplotlib: Visualization library in Python.\n\n# Author\nMOUNIKA DUMMU \u003cbr\u003e\nMANEESH SETTIPETA \u003cbr\u003e\nVIKRAM SAMUDRALA \u003cbr\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdummumounika%2Fecommerce-sales-categorization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdummumounika%2Fecommerce-sales-categorization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdummumounika%2Fecommerce-sales-categorization/lists"}